2015
DOI: 10.1134/s0001433815020061
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Role of spring soil moisture in the formation of large-scale droughts in the East European Plain in 2002 and 2010

Abstract: Using COSMO CLM (a nonhydrostatic atmospheric model designed for climate experiments), we simulate the summer anomalies in the meteorological regime of 2010 and 2002 over the central part of the East European Plain. The module of soil moisture treatment is shown to demonstrate reliable results and the radiation module of the model needs to incorporate the optical properties of haze generated by the smoke of forest and peat fires. It is shown that the soil moisture content formed in the spring can (due to its i… Show more

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Cited by 16 publications
(3 citation statements)
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“…The model set up for Moscow was close to other partners' configurations with minor differences, determined by previous experience in COSMO simulations for this region. An additional scaling coefficient of 2.5 was introduced for the rooting depth to avoid dry and hot bias temperature bias, which is typical for hot summers in the European part of Russia [70]. In TERRA look-up tables the rooting depth does not exceed 1 m even for the forests, which is a significant underestimation in comparison to observations [71][72][73].…”
Section: Methodsmentioning
confidence: 99%
“…The model set up for Moscow was close to other partners' configurations with minor differences, determined by previous experience in COSMO simulations for this region. An additional scaling coefficient of 2.5 was introduced for the rooting depth to avoid dry and hot bias temperature bias, which is typical for hot summers in the European part of Russia [70]. In TERRA look-up tables the rooting depth does not exceed 1 m even for the forests, which is a significant underestimation in comparison to observations [71][72][73].…”
Section: Methodsmentioning
confidence: 99%
“…The final 1-km step was selected to resolve urban-atmosphere interactions and the consequential urban-caused mesoscale features. Configuration of the model was optimized to minimize the known problems of overestimation of nocturnal temperatures by COSMO model [48,[55][56][57] and problems of temperature overestimation during summer heat waves reported in [58]. Such optimization included the tuning of the turbulent diffusion scheme as suggested in [55], using the new vegetation-skin temperature formulation [59] and other modifications, see the study of Varentsov et al (2017) [30] for more details.…”
Section: Regional Climate Modelmentioning
confidence: 99%
“…Furthermore the size of that global hypothesis test (i.e., the probability of rejecting a global null hypothesis if it is true), is α global = α FDR . α was taken to be 5% correlation coe cients within 0.5(Kislov et al 2015;Duerinck et al 2016;Zongxing et al 2016). Based on this assumption, the effect of P on Q ood is taken into account not only through the amount of available moisture, but also by reducing the PET on rainy days.…”
mentioning
confidence: 99%